测试技术学报2024，Vol.38Issue(4)：363-370,8.DOI:10.3969/j.issn.1671-7449.2024047
基于过时信息年龄最小化无人机路径规划
Age of Outdated Information Optimal UAV Path Planning
殷杰 1付芳 2李凯1
作者信息
- 1. 山西大学 物理电子工程学院,山西 太原 237016
- 2. 海南大学 计算机科学与技术学院,海南 海口 570228
- 折叠
摘要
Abstract
In some Internet of Things(IoT)scenarios that require high information freshness,UAV can be used to assist in collecting device data due to their high mobility and flexibility.The existing evaluation of information freshness has certain limitations in terms of age and cannot be accurately defined from a con-tent perspective.This article uses the age of outdated information to characterize the freshness of informa-tion,and proposes a UAV-assisted IoT data collection scheme based on the curiosity driven DQN algo-rithm.By optimizing the trajectory of the UAV,the age of outdated information is minimized while meet-ing the constraints of UAV energy consumption.The simulation results show that compared to the tradi-tional DQN algorithm,the proposed algorithm enhances the exploration ability of the intelligent agent,accelerates the convergence speed by about 45%,and achieves a reward value of about 67%higher.关键词
物联网/过时信息年龄/无人机路径规划/好奇心驱动DQN算法Key words
Internet of Things/age of outdated information/UAV path planning/curiosity-driven DQN algorithm分类
信息技术与安全科学引用本文复制引用
殷杰,付芳,李凯..基于过时信息年龄最小化无人机路径规划[J].测试技术学报,2024,38(4):363-370,8.
